Literature DB >> 15598448

Knee mechanics: a review of past and present techniques to determine in vivo loads.

Richard D Komistek1, Thomas R Kane, Mohamed Mahfouz, Jorge A Ochoa, Douglas A Dennis.   

Abstract

This review article evaluates various techniques that have been used to determine in vivo loads in the human knee. Two main techniques that have been used are telemetry, which is an experimental approach, and mathematical modeling, which is a theoretical approach. Telemetric analyses have previously been used to determine the in vivo loading of the human hip and more recently evaluated in the determination of in vivo knee loads. Mathematical modeling approaches can be categorized two ways; those that use optimization techniques to solve an indeterminate system and those that utilize a reduction method that minimizes the number of unknowns, keeping the system solvable as the number of equations of motion are equal to the number of unknown quantities. More recently, we have developed an approach that relies fully on the use of in vivo data from fluoroscopy, CT scanning, magnetic resonant imaging and a revised motion analysis technique that involves only two markers on each rigid body. A review of all techniques revealed a wide range of forces at the human knee, ranging from 1.9 to 7.2 times body weight during level walking.

Entities:  

Mesh:

Year:  2005        PMID: 15598448     DOI: 10.1016/j.jbiomech.2004.02.041

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  22 in total

1.  Direct comparison of measured and calculated total knee replacement force envelopes during walking in the presence of normal and abnormal gait patterns.

Authors:  Hannah J Lundberg; Kharma C Foucher; Thomas P Andriacchi; Markus A Wimmer
Journal:  J Biomech       Date:  2012-01-28       Impact factor: 2.712

2.  [Clinical gait analysis].

Authors:  T Mittlmeier; D Rosenbaum
Journal:  Unfallchirurg       Date:  2005-08       Impact factor: 1.000

Review 3.  [Musculoskeletal biomechanics of the knee joint. Principles of preoperative planning for osteotomy and joint replacement].

Authors:  M O Heller; G Matziolis; C König; W R Taylor; S Hinterwimmer; H Graichen; H-C Hege; G Bergmann; C Perka; G N Duda
Journal:  Orthopade       Date:  2007-07       Impact factor: 1.087

4.  Are the long term results of a high-flex total knee replacement affected by the range of flexion?

Authors:  Shinichiro Nakamura; Hiromu Ito; Masahiko Kobayashi; Kenji Nakamura; Ueo Toyoji; Richard D Komistek; Takashi Nakamura
Journal:  Int Orthop       Date:  2013-11-28       Impact factor: 3.075

5.  The 2011 ABJS Nicolas Andry Award: 'Lab'-in-a-knee: in vivo knee forces, kinematics, and contact analysis.

Authors:  Darryl D D'Lima; Shantanu Patil; Nicolai Steklov; Clifford W Colwell
Journal:  Clin Orthop Relat Res       Date:  2011-05-20       Impact factor: 4.176

6.  [Instrumented gait and movement analysis of musculoskeletal diseases].

Authors:  K Sander; D Rosenbaum; H Böhm; F Layher; T Lindner; R Wegener; S I Wolf; F Seehaus
Journal:  Orthopade       Date:  2012-10       Impact factor: 1.087

7.  Are contemporary femoral components sizing and design likely to affect functional results in TKA? A mathematical model of an implanted knee to predict knee forces.

Authors:  A Tecame; M Ferrari; B Violante; G Calafiore; R Papalia; P Adravanti
Journal:  Musculoskelet Surg       Date:  2018-02-05

Review 8.  Knee joint forces: prediction, measurement, and significance.

Authors:  Darryl D D'Lima; Benjamin J Fregly; Shantanu Patil; Nikolai Steklov; Clifford W Colwell
Journal:  Proc Inst Mech Eng H       Date:  2012-02       Impact factor: 1.617

9.  Fine tuning total knee replacement contact force prediction algorithms using blinded model validation.

Authors:  Hannah J Lundberg; Christopher Knowlton; Markus A Wimmer
Journal:  J Biomech Eng       Date:  2013-02       Impact factor: 2.097

10.  A handheld computer as part of a portable in vivo knee joint load monitoring system.

Authors:  Ja Szivek; Vs Nandakumar; Cp Geffre; Cp Townsend
Journal:  J Med Device       Date:  2008-09-01       Impact factor: 0.582

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